code: def test_bootstrap_multiple():
      np.random.seed(0)
      x = np.random.normal(0, 1, 100)
  
      dist_mean = bootstrap(
          x, 100, np.mean, kwargs=dict(axis=1), random_state=0
      )
      dist_std = bootstrap(
          x, 100, np.std, kwargs=dict(axis=1), random_state=0
      )
      res = bootstrap(
          x, 100, mean_sigma, kwargs=dict(axis=1), random_state=0
      )
  
      assert_allclose(res[0], dist_mean)
      assert_allclose(res[1], dist_std)
  
file_path: astroML/astroML/tests/test_resample.py
imports: import numpy
  from numpy.testing import assert_allclose
  from astroML.resample import bootstrap, jackknife
  from astroML.stats import mean_sigma
label_desc: Use image node_id 4 for calling a global function with example usage: test_bootstrap_multiple() without return types